Ali Yurukoglu

Ali   Yurukoglu
Associate Professor, Economics
Contact Info
AliYurukoglu
Associate Professor of Economics
Academic Area: 
Economics

Research Statement

Ali Yurukoglu’s research is in the area of industrial organization. He applies statistics to game theoretic models to study regulatory policy and imperfect competition. His research focuses on the media and telecommunications industries. He has recently studied a la carte pricing regulations in cable television, and negotiations and mergers between cable channels and cable distributors.

Bio

Ali Yurukoglu is an Associate Professor at the Stanford Graduate School of Business, where he teaches Data and Decisions in the first year of the MBA program. His research is in the area of industrial organization. Recently, he has used the tools of game theory and statistics to study pricing regulation in the cable and satellite television industry, and the effect of mergers between firms at different points on the supply chain. He received a BA in economics and mathematics from Northwestern University, and a PhD in economics from New York University’s Stern School of Business.

Academic Degrees

  • PhD, Economics, NYU Stern, 2009
  • BA, Economics and Mathematics, Northwestern University, 2004

Academic Appointments

  • Associate Professor, 2015-present
  • Assistant Professor, 2009-2015

Awards and Honors

  • James & Doris McNamara Faculty Scholar for 2015-2016

Publications

Journal Articles

Ali Yurukoglu, Eli Liebman, David B. Ridley. American Economic Journal: Economic Policy. May 2017, Vol. 9, Issue 2, Pages 348-382.
Gregory S. Crawford, Ali Yurukoglu. American Economic Review. April 2012, Vol. 102, Issue 2, Pages 643-685.

Working Papers

Bias in Cable News: Real Effects and Polarization | PDF
Gregory J. Martin, Ali Yurukoglu, April 52017
Multilateral Trade Bargaining: A First Peek at the GATT Bargaining Records | PDF
Kyle Bagwell, Robert W. Staiger, Ali Yurukoglu, March 2017
Nash-in-Nash Tariff Bargaining with and without MFN | PDF
Ali Yurukoglu, Kyle Bagwell, Robert Staiger, February 2017

Teaching

Degree Courses

2016-17

This course presents a comprehensive treatment of econometric methods used in economics, finance, marketing, and other management disciplines. Among the topics covered are: the classical linear regression analysis, linear simultaneous equations...

Data and Decisions - Accelerated is a first-year MBA course in probability and statistics for students with strong quantitative backgrounds. Probability provides the foundation for modeling uncertainties. Statistics provides techniques for...

2015-16

This course presents a comprehensive treatment of econometric methods used in economics, finance, marketing, and other management disciplines. Among the topics covered are: the classical linear regression analysis, linear simultaneous equations...

Data and Decisions - Accelerated is a first-year MBA course in probability, statistics, multiple regression analysis, and decision trees for students with strong quantitative backgrounds. Probability provides the foundation for modeling...

Insights by Stanford Business

October 30, 2014
Stanford researchers prove spending more time consuming Fox News or MSNBC can impact your voting decisions.